Arcadia-1

Arcadia-1 / gmoverid-skill

Public

Agent skill for simulating gmoverid characteristics and gmoverid-based design

23
1
100% credibility
Found Mar 11, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Raku
AI Summary

A set of simulation tools that generate plots of transistor behaviors and basic analog circuits using circuit simulators for educational analog design exploration.

How It Works

1
🔍 Discover transistor playground

You stumble upon a handy collection of simulators that let you explore how tiny electronic switches behave in computer chips.

2
💻 Set up your explorer

You grab the ready-to-run tools and prepare them on your computer to start experimenting.

3
Pick your adventure
📈
Explore switch curves

Focus on seeing current, speed, and efficiency curves for different switch sizes.

🔌
Test basic circuits

Play with everyday examples like signal boosters and noise filters.

4
✨ Watch magic happen

You press go and beautiful colorful graphs appear, showing exactly how everything flows and performs.

5
📏 Design your perfect switch

Using the curves, you pick the ideal size and strength for your switch to fit your needs perfectly.

🎉 Become a chip wizard

Now you understand transistor secrets and can build better electronics with confidence and pretty plots to share.

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AI-Generated Review

What is gmoverid-skill?

gmoverid-skill turns AI agents—like Claude-powered GitHub actions or Copilot extensions—into analog design assistants by bundling ngspice simulations for MOSFET gm/ID characterization. It delivers lookup tables for transistor sizing by gm/ID, fT, or gain targets, plus plots of IV curves, noise spectra, and transients across PTM nodes from 180nm to 22nm. Developers get instant SPICE runs for circuits like CS amps, RC filters, current mirrors, and sample-holds, skipping netlist boilerplate in agent skills repos.

Why is it gaining traction?

It packages pro-level gm/ID methodology—key for low-power analog—into agent-ready scripts, with validation checks ensuring physical realism like weak-inversion limits and length scaling. Unlike generic SPICE tools, it offers user-friendly sizing APIs (e.g., size by gm/ID=15 at 100uA) and multi-node comparisons, hooking devs building agent GitHub Copilot or VSCode extensions for circuit tasks. The ngspice examples span DC/AC/tran/noise, making it a quick win for reproducible sims in agent skills workflows.

Who should use this?

Analog engineers sizing transistors in gm/ID flows, IC students verifying designs with ngspice, or teams automating SPICE in GitHub repos via Claude agents. Perfect for Reddit-sourced Copilot users debugging IV curves or Microsoft OpenAI agent builders needing validated gmro/ft data without full PDKs.

Verdict

Grab it for niche agent skills in analog sims—solid examples beat starting from scratch—but 14 stars and 1.0% credibility signal low maturity; expect to tweak scripts as docs lean code-first.

(198 words)

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